Production systems, cloud operations, and AI infrastructure.
Neteos designs, builds and runs IT systems for teams that need one accountable partner — from architecture through deployment, operations, and the reliability layer around AI models. Makers of ValGuard.ai.
- 26 years
- Building and operating production systems
- 15+ years
- Remote delivery with US companies
- 20k
- Concurrent viewers (~20k peak) on AWS video delivery for Global Payments
- ≤ 26 µs
- ValGuard deterministic validator path
Services
Full ownership. One practice.
Not a ticket shop — a senior engineering practice that carries systems across product, platform and operations. Same hands from the first sketch to the 3 a.m. failover.
Typical engagements: greenfield platforms, production rescue, AWS and database hardening, AI proxy layers, and long-running ops for systems that cannot afford a handoff gap.
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01
Systems & platforms
Architecture through handoff: integrations, data layer, APIs and delivery. For work that spans more than one repository and needs one owner for the whole path — event platforms, referral networks, marketplaces and internal tools.
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02
Cloud & operations
AWS, Linux and databases for services already carrying real traffic — EC2, RDS, load balancing, caching, S3 and CloudFront; performance tuning, HA patterns, backups, monitoring and calm incident response when the launch date does not move.
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AI infrastructure
Deterministic validation, multi-agent orchestration, cost control and observability: the reliability layer around models, not another prompt experiment. Shadow mode, policy packs, provider routing and audit trails — ValGuard.ai is the working proof.
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04
Technical direction
Specifications, failure scenarios, migration plans and code review for small or distributed teams. Useful when you need a senior second opinion before committing budget — written decisions instead of another meeting.
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Hands-on build
APIs, backends, dashboards and automation in Python, Go, PHP and modern frontends — built with AI-assisted delivery and enough systems thinking that the result still makes sense in year three.
Product
ValGuard.ai is live.
Built by Neteos: an AI management layer for multi-agent systems — orchestration, deterministic validation, cost control and observability behind one edge proxy.
Reliability you can measure, not hope for.
ValGuard sits between your agents and your models. Rules are deterministic, so the same input gives the same verdict every time — no second model grading the first. Run it in shadow mode until the data backs the rules, then enforce.
- OpenAI-compatible edge proxy with provider routing and cost control
- Deterministic rule engine and multi-agent playbooks
- Dashboards, SDKs, billing and published benchmark suite
- Shadow mode, audit trails and enforcement when the data supports it
Why Neteos
Hire the whole path, not a fragment.
Twenty-six years of production delivery — fifteen of them remote with US companies. Live events, enterprise brands, real-estate platforms at MLS scale, and now AI infrastructure from the same practice.
- End-to-end ownership: architecture, build, release and the years of operations that follow — not a slice of the stack.
- AWS under fixed dates: EventStream event technology for Delta, IHG, Atlantic Union Bank and Global Payments; ~20k concurrent-viewer video delivery; millions of MLS listings ingested for referral networks.
- Enterprise and brand work through long agency relationships — FedEx, SkyTeam, Macallan, Harman, Bristol Myers Squibb, Bioderma and others.
- ValGuard.ai as current proof: a live commercial product built end to end, with published benchmarks instead of a slide deck.
- Direct contact with the engineer doing the work — no account layer, no relayed requirements.
Contact
Start where the problem is.
Architecture review, a production incident, platform work, or AI infrastructure — bring the messy version and we will tell you honestly what it takes.